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TQ-Model: A New Evaluation Model for Knowledge-Based Authentication Schemes

机译：TQ模型：基于知识的身份验证方案的新评估模型

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摘要

Many user authentication schemes are developed to resolve security issues of traditional textual password scheme. However,only Android unlock scheme gets wide acceptance among users in the domain of smartphones. Although Android unlockscheme has many security issues, it iswidely used due to usability advantages.Different models and frameworks are developedfor evaluating the performance of user authentication schemes. However, most of the existing frameworks provide ambiguousprocess of evaluation, and their results do not reflect how much an authentication scheme is strong or weak with respect totraditional textual password scheme. In this research paper, an evaluation model called textual passwords-based quantificationmodel (TQ-Model) is proposed for knowledge-based authentication schemes. In the TQ-Model, evaluation is done on thebasis of different features, which are related to security, usability and memorability. An evaluator needs to assign a scoreto each of the feature based on some criteria defined in the model. From the evaluation result, the performance differencebetween a knowledge-based authentication scheme and textual password scheme can be measured. Furthermore, evaluationresults of Android unlock scheme, picture gesture authentication scheme and Passface scheme are presented in the paperusing the TQ-Model.
机译：开发了许多用户认证方案来解决传统文本密码方案的安全性问题。但是，只有Android解锁方案才能在智能手机领域得到用户的广泛认可。虽然Android解锁方案存在许多安全问题，但由于可用性优势而被广泛使用。开发了各种模型和框架来评估用户身份验证方案的性能。然而，大多数现有框架提供了模糊的评估过程，并且它们的结果并未反映出相对于传统文本密码方案而言，认证方案的强弱程度。本文针对基于知识的认证方案，提出了一种基于文本密码的量化模型（TQ-Model）的评估模型。在TQ模型中，评估是基于与安全性，可用性和记忆性相关的不同功能进行的。评估人员需要根据模型中定义的某些标准为每个功能分配分数。根据评估结果，可以测量基于知识的身份验证方案和文本密码方案之间的性能差异。此外，本文还使用TQ模型给出了Android解锁方案，图片手势认证方案和Passface方案的评估结果。

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